The Role of IT in Enterprise Business Intelligence: IT-Enabled vs. IT-Governed

As decision makers clamor for access to data, many business intelligence projects are implemented with limited IT involvement and governance. This results in data privacy and security breaches in addition to inconsistent or incomplete use of data. To counter these adverse effects, Gartner predicts a return to governed enterprise BI solutions. In this session we will address the differences between IT-Enabled and IT-Governed business intelligence platforms. We will also consider the need for a governed self-service analytics platform and how organizations can achieve that goal.

Outcome driven healthcare organizations today are embracing analytics and self-service BI reporting programs. Where do you stand in comparison to your peers? How far have they progressed in the analytics maturity model? What are their common challenges, gaps, and successes? What other technologies are they exploring? Please join me to review our recent research and openly discuss our findings.

Traditional business reporting is often one-size-fits-all. It rarely provides the targeted analytic content required by different decision-makers with unique informational needs. Business leaders need more than just accurate and timely reporting—they need data-driven analytic context. In this webinar, we’ll examine how organizations can benefit from modern BI tools that feature advanced, customizable reporting capabilities (smart infographics, dynamic text, and more) that automatically deliver contextualized analytic content for specific users. Examples will be demonstrated using Pyramid Analytics’ BI Office.

True governance covers numerous aspects of the business intelligence environment – not just who has access to what data but how reports, dashboards, and other content is managed. This webinar will discuss challenges organizations commonly run into and how successful governance programs must not only correctly identify all of these aspects, but understand how they all fit together.

Modern self-service personal productivity analytic tools allow individual users to create sophisticated calculations and sets. However, for an organization to maximize the value of analytics this business logic must be released from myriad of spreadsheets and documents that it is embedded. Join us to discuss how analytic platforms allow data-driven organizations to centralize, share and contextualize this content.

Every decision maker needs access to reliable information to do their job. This has only become more critical with the rise of the Digital IT organization. Join Peter Sprague while he discusses traditional ways that organizations have faced this challenge, along with a discussion of analytic platforms and how they fit into the transformation towards true data-driven organizations.

As decision makers clamor for access to data, many business intelligence projects are implemented with limited IT involvement and governance. This results in data privacy and security breaches in addition to inconsistent or incomplete use of data. To counter these adverse effects, Gartner predicts a return to governed enterprise BI solutions. In this session we will address the differences between IT-Enabled and IT-Governed business intelligence platforms. We will also consider the need for a governed self-service analytics platform and how organizations can achieve that goal.

Learn about large scale BI deployments from Dave Fackler who spent the past 18 months implementing the BI Office suite from Pyramid Analytics within the Department of Veterans Affairs. Dave helped architect and build the entire data warehouse and business intelligence environment and infrastructure supporting over 350,000 professionals serving more than 6 million veteran patients each year. Dave has also been the lead resource for educating content users and content developers within the VA, crafting and managing a full training and support system that helps over 20,000 users utilize over 50,000 reports and 10,000 dashboards on a daily and weekly basis.

Data Modeling is a critical component of enterprise BI. Most data modeling is desktop-based. This can lead to a large number of problems including scale, maintenance, collaboration and security.
Join Chris Webb independent consultant and Peter Sprague VP Solutions Engineering at Pyramid Analytics for a discussion about how to avoid an epidemic of poorly designed and scattered data models throughout an organization. Questions tackled will include:
-What is the impact of poor data modeling decisions?
-Can data modeling decisions be delayed?
-Do new tools and technologies alleviate the need for good data modeling?
-What are the data modeling needs of an enterprise?

One reason why some vendors promote the idea that OLAP is dead is because they are promoting the idea of smaller, user created models (the desktop BI approach) rather than a single centralized model. While OLAP may be out of fashion, the capabilities and benefits of the technology make sense for many data warehouse scenarios.

Enterprise BI initiatives often fail to deliver organization value due to challenges with user adoption. Join Wayne Eckerson, noted speaker and author of the Eckerson Group and Pyramid Analytics for a discussion about the Keys to BI Adoption.

Notable BI industry expert Howard Dresner identifies collaboration and adoption as critical factors that differentiate successful BI initiatives from all the rest. What is collaborative business intelligence and why is it so critical for success? Join Howard Dresner, Chief Research Officer of Dresner Advisory Services and Peter Sprague, VP Solutions Engineering at Pyramid Analytics for a discussion about collaborative BI and why higher adoption and collaboration is correlated to BI success and higher return on investment.